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ABSTRACT: Background
Drinking among college students in India is rising, influenced by social and cultural shifts. This study aimed to classify drinking behaviors among underage students using Latent Class Analysis (LCA) and assess the effectiveness of digital screening and brief intervention (DSBI) and brief advice (DSBA) across identified classes.Methods
This was a secondary analysis of a two-stage cluster randomized trial that screened 693 college students (age 18-22 yrs) with the Alcohol Use Disorders Identification Test (AUDIT). LCA was employed to identify latent classes in a main sample (N = 693, AUDIT ≥1) and a subsample of enrolled participants (N = 548, AUDIT scores 8-19). Model fit was assessed using AIC, BIC, and log-likelihood values, with a 3-class solution preferred fo
SUBMITTER: Ghosh A
PROVIDER: S-EPMC12833505 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature